Andrew Holliday

14 papers A* 2A 1Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Applications of deep reinforcement learning to urban transit network design.
CoRR
Andrew Holliday
2024 A* conf
A Neural-Evolutionary Algorithm for Autonomous Transit Network Design.
ICRA
Andrew Holliday, Gregory Dudek
2024 J jnl
A Neural-Evolutionary Algorithm for Autonomous Transit Network Design.
CoRR
Andrew Holliday, Gregory Dudek
2024 J jnl
Learning Heuristics for Transit Network Design and Improvement with Deep Reinforcement Learning.
CoRR
Andrew Holliday, Ahmed El-Geneidy, Gregory Dudek
2024 A* conf
Uncertainty-aware hybrid paradigm of nonlinear MPC and model-based RL for offroad navigation: Exploration of transformers in the predictive model.
ICRA
Faraz Lotfi, Khalil Virji, Farnoosh Faraji, Lucas Berry, Andrew Holliday, David Meger, Gregory Dudek
2023 — conf
Augmenting Transit Network Design Algorithms with Deep Learning.
ITSC
Andrew Holliday, Gregory Dudek
2023 J jnl
Neural Bee Colony Optimization: A Case Study in Public Transit Network Design.
CoRR
Andrew Holliday, Gregory Dudek
2023 J jnl
Uncertainty-aware hybrid paradigm of nonlinear MPC and model-based RL for offroad navigation: Exploration of transformers in the predictive model.
CoRR
Faraz Lotfi, Khalil Virji, Farnoosh Faraji, Lucas Berry, Andrew Holliday, David Meger, Gregory Dudek
2021 J jnl
Scale-invariant localization using quasi-semantic object landmarks.
Auton. Robots
Andrew Holliday, Gregory Dudek
2020 — conf
Pre-trained CNNs as Visual Feature Extractors: A Broad Evaluation.
CRV
Andrew Holliday, Gregory Dudek
2018 — conf
Gaze Selection for Enhanced Visual Odometry During Navigation.
CRV
Travis Manderson, Andrew Holliday, Gregory Dudek
2018 A conf
Scale-Robust Localization Using General Object Landmarks.
IROS
Andrew Holliday, Gregory Dudek
2017 J jnl
Long-Distance Loop Closure Using General Object Landmarks.
CoRR
Andrew Holliday, Gregory Dudek
2017 J jnl
Speedup of deep learning ensembles for semantic segmentation using a model compression technique.
Comput. Vis. Image Underst.
Andrew Holliday, Mohammadamin Barekatain, Johannes Laurmaa, Chetak Kandaswamy, Helmut Prendinger